Conversation AI · for research
Someone to talk to.
Something to learn from.
CogBot is an on-demand AI voice companion for seniors. For the people who study the conversation, it's a full research workbench — reach users, shape personas, refine prompts against simulated dialogue, and keep every call as data.
See the call, the way a senior does
A notification invites them to talk. One tap answers it, and they're in a warm, hands-free conversation — then a simple tap to hang up.
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1 · Notification
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2 · Incoming
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3 · In call
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4 · Ended
Natural voice, and a memory that grows
Seniors simply talk, whenever they like, and CogBot talks back — warmly and naturally. Every call adds to what it remembers, so the companion grows more personal over time.
Remembered across calls
carried into every future call
The conversation is the surface.
The platform is the point.
Behind the call screen sits an admin dashboard built for running a study — reaching users, engineering the model, and turning talk into analyzable data.
Reach users — one tap to a call
From the dashboard, send notifications: dialogue invitations or task reminders. Tapping one opens a VoIP-style incoming-call screen, so a gentle reminder turns straight into a real conversation. Reminders can be scheduled to go out on their own.
Tune prompts against simulated dialogue
Designing a good companion prompt is usually manual trial and error. CogBot makes it a workflow — define personas, scenarios, and evaluation criteria, then generate simulated conversations between CogBot and each persona. Revise the prompt automatically from those runs, or by hand. Personas give feedback too, and the same loop sharpens the personas themselves.
Two-stage loop — build realistic personas first, then refine the prompt against them.
Every conversation becomes data
Transcripts and audio recordings are written automatically and synced to your own cloud storage — Google Cloud today, swappable to wherever your team works. Everything is ready for analysis the moment a call ends.
auto-written · ready for analysis
Refinement, as a loop you can actually run
The same machinery refines both sides. First it builds realistic personas; then it uses them to refine the prompt — over and over, with evaluation baked in.
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STEP 1Personasrealistic target users
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STEP 2Scenariostopics & first turns
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STEP 3Simulated dialogueCogBot × persona
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STEP 4Evaluate & reviseauto or by hand
loops back — sharpening personas, then the prompt
Actively in development
CogBot ships continuously. A few of the things on the bench right now.
Native mobile apps
iOS & Android clients to replace the current web app.
Automated invitations
CogBot reaches out on its own — rule-based first, personalized next.
Adaptive scheduling
Reminders and check-ins that fit each person's routine.